Guidelines for developing and using quantitative structure-activity relationships

被引:100
|
作者
Walker, JD
Jaworska, J
Comber, MHI
Schultz, TW
Dearden, JC
机构
[1] US EPA, TSCA, Interagcy Testing Comm, Washington, DC 20460 USA
[2] Proctor & Gamble Eurocor, Cent Prod Safety Dept, B-1853 Strombeek Bever, Belgium
[3] ExxonMobil Biomed Sci, Prod Stewardship & Regulatory Affairs, B-1831 Machelen, Belgium
[4] Univ Tennessee, Dept Comparat Med, Knoxville, TN 37996 USA
[5] Liverpool John Moores Univ, Sch Pharm & Chem, Liverpool L3 3AF, Merseyside, England
关键词
quantitative structure-activity relationships guidelines; CLASSIFYING ENVIRONMENTAL-POLLUTANTS; POLYCYCLIC AROMATIC-HYDROCARBONS; HAZARD IDENTIFICATION ALGORITHM; AQUATIC TOXICITY; FATHEAD MINNOW; PHYSICOCHEMICAL PROPERTIES; MOLECULAR CONNECTIVITY; OCCURRING CHEMICALS; LIGAND FLEXIBILITY; PREDICTIVE MODEL;
D O I
10.1897/01-627
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous quantitative structure-activity relationships (QSARs) have been developed to predict properties, fate, and effects of mostly discrete organic chemicals. As the demand for different types of regulatory testing increases and the cost of experimental testing escalates, there is a need to evaluate the use of QSARs and provide some guidance to avoid their misuse, especially as QSARs are being considered for regulatory purposes. This paper provides some guidelines that will promote the proper development and use of QSARs. While this paper uses examples of QSARs to predict toxicity, the proposed guidelines are applicable to QSARs used to predict physical or chemical properties, environmental fate, ecological effects and health effects.
引用
收藏
页码:1653 / 1665
页数:13
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